Isotopic composition (Pb and Sr) in particulate matter (PM10) samples, collected at Concordia with monthly time resolution, since January 2018, obtained by ICP-MS.

Surface ozone data, collected through a UV-absorption analyzer (49i or 49c)

We will collect skin samples from the volunteers at the Mario Zucchelli Station at different time points, using safe and not harmfull kits. Samples will be analysed by shotgun metagenomic sequencing, considering only the microbial component.

This is a compilation of all Concordia station datasets that were/are published in the frame of BSRN. The collection will be updated regularly with recent data. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/). Basic and other measurements of radiation at Concordia station (2006-01 et seq) .

ISMAR_AN95 (?) ORA di BAIA TERRA NOVA ctd dicembre 1994 - CTD casts in the Ross Sea Station AN94043 - AN94045 - AN94046 - AN94047 - AN94048 - AN94049 - AN94050 - AN94051 - AN94052 - AN94053 - AN94054 - AN94055 - AN94056 - AN94057 - AN94058 - AN94059 - AN94060 - AN94061 - AN94062 - AN94063 - AN94064 - AN94065 - AN94066 - AN94067 - AN94068 - AN94069 - AN94070 - AN94071 - AN94072 - AN94073 - AN94074 - AN94075 - AN94076

Permafrost hosts a potentially large pool of microorganisms, which is supposed to be the only life forms known to have retained viability over geological time. Thawing of the permafrost renews their physiological activity and exposes ancient life to modern ecosystems (Gilichinsky et al, 2008). The adaptation mechanisms of microorganisms, at species or population level, make them susceptible to extreme environmental conditions. The survival of microorganisms in permafrost raises the question of what constitutes the limit for microbial life (Steven et al., 2006; Wagner 2008).

We will collect oral samples from the volunteers at the Mario Zucchelli Station at different time points, using safe and not harmfull kits. Samples will be analysed by shotgun metagenomic sequencing, considering only the microbial component.

TNB1 and TNB2 continuous GNSS stations There are currently two continuous GNSS stations, TNB1 and TNB2, nearby the Italian base MZS (Mario Zucchelli Station). Collected data, in RINEX format, are sent daily in Italy and are available for download at the Database page of this website. TNB1 continuous GPS station was monumented during the 1997-1998 campaign on a granite outcrop. It was originally equipped with an Ashtech Z-12 GPS receiver and an Ashtech 700936D Dorne Margolin antenna with chokering. Installed on a concrete pillar, TNB1 continuously collected data of the GPS constellation for about 17 years. In November 2015, the instrumentation was completely renewed. Currently, the station is equipped with a Leica GS25 GNSS receiver and a Leica AT504 Dorne Margolin antenna with chokering. TNB1 collect data of GPS and GLONASS constellations.

The fungal communities in rocks and soils of three different localities (Battleship Promontory, Richard Nunatak, Trio Nunatak), where stations are collecting climatic data, have been compared with a DNA metabarcoding approach. The results showed a strong differentiation in the communities diversity and composition between the two substrates, with an higher diversity in soils compared to rocks.

The bacterial communities in rocks and soils of three different localities (Battleship Promontory, Richard Nunatak, Trio Nunatak), where stations are collecting climatic data, have been compared with a DNA metabarcoding approach. In addition samples have been trated with Propidium Mono-Azide (PMA) which binds to DNA of damaged cells and inhibit its replication via PCR. The comparison between samples treated with PMA and samples not treated allows to check the bacterial cells that are intact and potentially alive in these substrates. The results showed a strong differentiation in the communities diversity and composition between the two substrates, with an higher diversity in soils compared to rocks. In addition, the PMA treatment revealed the presence of an high proportion of death cells, whose amplification in traditional metabarcoding approaches obscures the correlation trends in this environment.